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Field
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and computer scientists from both Nottingham Trent University (NTU) and the University of Nottingham (UoN). The successful candidate will contribute to a work package focused on the development of a
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demonstrations. The successful candidate will work at the intersection of multi-disciplinary modelling, advanced AI algorithms, and decision-support tool development. Responsibilities will include programming
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research in robotic design and algorithms through real-world applications such as a robotic fish for underwater locomotion , soft robotic hands for pick-and-place tasks , and multi-segment arms for dynamic
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, or you know what it takes to make content perform well in algorithms; we’d like to hear from you. This role is full-time (35 hours per week), fixed term for 15 months from the start of employment. Salary
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programming, algorithms and data structures, and databases, both relational and NoSQL) and in distributed systems and cloud computing (virtualisation and containerisation, cloud platforms, and data management
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and computation, involving the analysis of feedback controllers in systems and synthetic biology, the analysis of algorithms, and merging of ML and mechanistic approaches to deal with context effects
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grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. Key Responsibilities: The development of new algorithms
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
25 Jul 2026 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile Recognised Researcher (R2
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algorithms, analysis pipelines, and software in order to establish and ensure effectiveness and scalability of computing infrastructure. Provides consultation for and expertise with computer applications to
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geophysical survey and machine learning algorithms. Mainly responsible for processing geophysical/geomechanical data and analysing the data using machine learning. Conducting research, supervising undergraduate